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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 51–89 of 89 papers

TitleStatusHype
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform RepresentationCode1
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition—0
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAMCode1
Panoramic annular SLAM with loop closure and global optimization—0
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments—0
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry—0
Visual place recognition: A survey from deep learning perspectiveCode1
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
Place Recognition in Forests with Urquhart TessellationsCode1
LiPo-LCD: Combining Lines and Points for Appearance-based Loop Closure Detection—0
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments—0
DXSLAM: A Robust and Efficient Visual SLAM System with Deep FeaturesCode1
Dynamic Object Tracking and Masking for Visual SLAMCode1
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure DetectionCode1
Fast Loop Closure Detection via Binary Content—0
LiDAR Iris for Loop-Closure Detection—0
Kernel learning for visual perceptionCode0
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
Sem-LSD: A Learning-based Semantic Line Segment DetectorCode0
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization—0
Place recognition in gardens by learning visual representations: data set and benchmark analysis—0
SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles—0
Pose Graph Optimization for Unsupervised Monocular Visual Odometry—0
Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU—0
MRS-VPR: a multi-resolution sampling based global visual place recognition method—0
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks—0
Fusion++: Volumetric Object-Level SLAM—0
LDSO: Direct Sparse Odometry with Loop Closure—0
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization—0
Backtracking Regression Forests for Accurate Camera RelocalizationCode0
Beyond SIFT using Binary features for Loop Closure Detection—0
Original Loop-closure Detection Algorithm for Monocular vSLAM—0
MILD: Multi-Index hashing for Loop closure Detection—0
Multi-Model Hypothesize-and-Verify Approach for Incremental Loop Closure Verification—0
Learning Binary Features Online from Motion Dynamics for Incremental Loop-Closure Detection and Place Recognition—0
Incremental Loop Closure Verification by Guided Sampling—0
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection—0
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection—0
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