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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
GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure DetectionCode2
OverlapMamba: Novel Shift State Space Model for LiDAR-based Place RecognitionCode2
Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose EstimationCode2
ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density ImagesCode1
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention NetworksCode1
Balancing Accuracy and Efficiency for Large-Scale SLAM: A Minimal Subset Approach for Scalable Loop ClosuresCode1
Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place RecognitionCode1
Loop Closure Detection Based on Object-level Spatial Layout and Semantic ConsistencyCode1
General Place Recognition Survey: Towards the Real-world Autonomy AgeCode1
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
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