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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 31–40 of 89 papers

TitleStatusHype
Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching—0
Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation—0
Memory Management for Real-Time Appearance-Based Loop Closure Detection—0
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
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline—0
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition—0
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes—0
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