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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 76–89 of 89 papers

TitleStatusHype
Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU—0
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks—0
Fusion++: Volumetric Object-Level SLAM—0
LDSO: Direct Sparse Odometry with Loop Closure—0
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization—0
Backtracking Regression Forests for Accurate Camera RelocalizationCode0
Beyond SIFT using Binary features for Loop Closure Detection—0
Original Loop-closure Detection Algorithm for Monocular vSLAM—0
MILD: Multi-Index hashing for Loop closure Detection—0
Multi-Model Hypothesize-and-Verify Approach for Incremental Loop Closure Verification—0
Learning Binary Features Online from Motion Dynamics for Incremental Loop-Closure Detection and Place Recognition—0
Incremental Loop Closure Verification by Guided Sampling—0
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection—0
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection—0
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