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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 71–80 of 89 papers

TitleStatusHype
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition—0
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes—0
Visual Loop Closure Detection Through Deep Graph Consensus—0
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry—0
Place recognition in gardens by learning visual representations: data set and benchmark analysis—0
PLD-SLAM: A Real-Time Visual SLAM Using Points and Line Segments in Dynamic Scenes—0
PNE-SGAN: Probabilistic NDT-Enhanced Semantic Graph Attention Network for LiDAR Loop Closure Detection—0
Pose Graph Optimization for Unsupervised Monocular Visual Odometry—0
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline—0
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure—0
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