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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 11–20 of 89 papers

TitleStatusHype
Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place RecognitionCode1
Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching—0
Memory Management for Real-Time Appearance-Based Loop Closure Detection—0
Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation—0
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
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction—0
DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking and Loop-Closing—0
DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM—0
Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection—0
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