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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 1–10 of 89 papers

TitleStatusHype
Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR—0
Visual Loop Closure Detection Through Deep Graph Consensus—0
Improved Bag-of-Words Image Retrieval with Geometric Constraints for Ground Texture Localization—0
PNE-SGAN: Probabilistic NDT-Enhanced Semantic Graph Attention Network for LiDAR Loop Closure Detection—0
ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density ImagesCode1
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention NetworksCode1
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes—0
Balancing Accuracy and Efficiency for Large-Scale SLAM: A Minimal Subset Approach for Scalable Loop ClosuresCode1
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
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