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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
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition—0
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Fast Loop Closure Detection via Binary Content—0
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning—0
Fusion++: Volumetric Object-Level SLAM—0
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments—0
GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration—0
HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud—0
Improved Bag-of-Words Image Retrieval with Geometric Constraints for Ground Texture Localization—0
Incremental Loop Closure Verification by Guided Sampling—0
LDSO: Direct Sparse Odometry with Loop Closure—0
Learning Binary Features Online from Motion Dynamics for Incremental Loop-Closure Detection and Place Recognition—0
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization—0
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