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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 76–89 of 89 papers

TitleStatusHype
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
Semi-supervised Vector-Quantization in Visual SLAM using HGCN—0
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in OrchardsCode0
Backtracking Regression Forests for Accurate Camera RelocalizationCode0
Sem-LSD: A Learning-based Semantic Line Segment DetectorCode0
Kernel learning for visual perceptionCode0
AirLoop: Lifelong Loop Closure DetectionCode0
Region Prediction for Efficient Robot Localization on Large MapsCode0
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionCode0
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
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