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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 1–50 of 89 papers

TitleStatusHype
Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose EstimationCode2
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
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAMCode1
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure DetectionCode1
Dynamic Object Tracking and Masking for Visual SLAMCode1
CT-ICP: Real-time Elastic LiDAR Odometry with Loop ClosureCode1
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform RepresentationCode1
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention NetworksCode1
Loop Closure Detection Based on Object-level Spatial Layout and Semantic ConsistencyCode1
Loop closure detection using local 3D deep descriptorsCode1
Balancing Accuracy and Efficiency for Large-Scale SLAM: A Minimal Subset Approach for Scalable Loop ClosuresCode1
General Place Recognition Survey: Towards the Real-world Autonomy AgeCode1
DXSLAM: A Robust and Efficient Visual SLAM System with Deep FeaturesCode1
Visual place recognition: A survey from deep learning perspectiveCode1
Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place RecognitionCode1
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
Place Recognition in Forests with Urquhart TessellationsCode1
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAMCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
Probabilistic Appearance-Invariant Topometric Localization with New Place AwarenessCode1
ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density ImagesCode1
Kernel learning for visual perceptionCode0
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionCode0
Region Prediction for Efficient Robot Localization on Large MapsCode0
AirLoop: Lifelong Loop Closure DetectionCode0
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
Sem-LSD: A Learning-based Semantic Line Segment DetectorCode0
Backtracking Regression Forests for Accurate Camera RelocalizationCode0
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in OrchardsCode0
Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU—0
LiDAR Iris for Loop-Closure Detection—0
LiPo-LCD: Combining Lines and Points for Appearance-based Loop Closure Detection—0
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks—0
Memory Management for Real-Time Appearance-Based Loop Closure Detection—0
MILD: Multi-Index hashing for Loop closure Detection—0
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction—0
MRS-VPR: a multi-resolution sampling based global visual place recognition method—0
Multi-Model Hypothesize-and-Verify Approach for Incremental Loop Closure Verification—0
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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