SOTAVerified

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 26–50 of 89 papers

TitleStatusHype
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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