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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
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition—0
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition—0
Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection—0
DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking and Loop-Closing—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation—0
DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM—0
Improved Bag-of-Words Image Retrieval with Geometric Constraints for Ground Texture Localization—0
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments—0
Average Outward Flux Skeletons for Environment Mapping and Topology Matching—0
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