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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 21–30 of 89 papers

TitleStatusHype
Dynamic Object Tracking and Masking for Visual SLAMCode1
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure DetectionCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
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
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
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