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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 51–60 of 89 papers

TitleStatusHype
HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud—0
Bi-directional Loop Closure for Visual SLAM—0
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionCode0
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition—0
Average Outward Flux Skeletons for Environment Mapping and Topology Matching—0
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words—0
AirLoop: Lifelong Loop Closure DetectionCode0
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection—0
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure—0
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
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