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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
OverlapMamba: Novel Shift State Space Model for LiDAR-based Place RecognitionCode2
GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure DetectionCode2
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
Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place RecognitionCode1
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention NetworksCode1
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
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
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
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAMCode1
Visual place recognition: A survey from deep learning perspectiveCode1
Place Recognition in Forests with Urquhart TessellationsCode1
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure DetectionCode1
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAMCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments—0
GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration—0
HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud—0
Improved Bag-of-Words Image Retrieval with Geometric Constraints for Ground Texture Localization—0
Incremental Loop Closure Verification by Guided Sampling—0
LDSO: Direct Sparse Odometry with Loop Closure—0
Learning Binary Features Online from Motion Dynamics for Incremental Loop-Closure Detection and Place Recognition—0
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization—0
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
A Faster, Lighter and Stronger Deep Learning-Based Approach for Place Recognition—0
Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation—0
Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection—0
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection—0
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments—0
Average Outward Flux Skeletons for Environment Mapping and Topology Matching—0
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition—0
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