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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

Showing 5160 of 89 papers

TitleStatusHype
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform RepresentationCode1
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition0
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAMCode1
Panoramic annular SLAM with loop closure and global optimization0
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments0
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry0
Visual place recognition: A survey from deep learning perspectiveCode1
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
Place Recognition in Forests with Urquhart TessellationsCode1
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