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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 21–30 of 89 papers

TitleStatusHype
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline—0
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition—0
Loop Closure Detection Based on Object-level Spatial Layout and Semantic ConsistencyCode1
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes—0
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in OrchardsCode0
Region Prediction for Efficient Robot Localization on Large MapsCode0
Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose EstimationCode2
GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration—0
A Faster, Lighter and Stronger Deep Learning-Based Approach for Place Recognition—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
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