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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 61–70 of 89 papers

TitleStatusHype
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Fast Loop Closure Detection via Binary Content—0
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning—0
Fusion++: Volumetric Object-Level SLAM—0
SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles—0
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes—0
Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR—0
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words—0
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