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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 41–50 of 89 papers

TitleStatusHype
Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching—0
Original Loop-closure Detection Algorithm for Monocular vSLAM—0
Panoramic annular SLAM with loop closure and global optimization—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
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry—0
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