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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 71–80 of 89 papers

TitleStatusHype
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization—0
Place recognition in gardens by learning visual representations: data set and benchmark analysis—0
SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles—0
Pose Graph Optimization for Unsupervised Monocular Visual Odometry—0
Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU—0
MRS-VPR: a multi-resolution sampling based global visual place recognition method—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
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