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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 41–50 of 89 papers

TitleStatusHype
Region Prediction for Efficient Robot Localization on Large MapsCode0
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in OrchardsCode0
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
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning—0
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes—0
PLD-SLAM: A Real-Time Visual SLAM Using Points and Line Segments in Dynamic Scenes—0
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments—0
Semi-supervised Vector-Quantization in Visual SLAM using HGCN—0
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