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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 51–60 of 89 papers

TitleStatusHype
Beyond SIFT using Binary features for Loop Closure Detection—0
Bi-directional Loop Closure for Visual SLAM—0
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes—0
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection—0
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection—0
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments—0
DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking and Loop-Closing—0
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition—0
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