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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 31–40 of 89 papers

TitleStatusHype
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
General Place Recognition Survey: Towards the Real-world Autonomy AgeCode1
PLD-SLAM: A Real-Time Visual SLAM Using Points and Line Segments in Dynamic Scenes—0
Semi-supervised Vector-Quantization in Visual SLAM using HGCN—0
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments—0
HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud—0
Bi-directional Loop Closure for Visual SLAM—0
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionCode0
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