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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
Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation—0
Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection—0
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection—0
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments—0
Average Outward Flux Skeletons for Environment Mapping and Topology Matching—0
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition—0
Beyond SIFT using Binary features for Loop Closure Detection—0
Bi-directional Loop Closure for Visual SLAM—0
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes—0
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection—0
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