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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–89 of 89 papers

TitleStatusHype
SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles—0
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes—0
Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR—0
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words—0
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition—0
VINGS-Mono: Visual-Inertial Gaussian Splatting Monocular SLAM in Large Scenes—0
Visual Loop Closure Detection Through Deep Graph Consensus—0
Semi-supervised Vector-Quantization in Visual SLAM using HGCN—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
Beyond SIFT using Binary features for Loop Closure Detection—0
Bi-directional Loop Closure for Visual SLAM—0
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes—0
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection—0
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection—0
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments—0
DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking and Loop-Closing—0
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition—0
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Fast Loop Closure Detection via Binary Content—0
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning—0
Fusion++: Volumetric Object-Level SLAM—0
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
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.