SOTAVerified

Simultaneous Localization and Mapping

Simultaneous localization and mapping (SLAM) is the task of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.

( Image credit: ORB-SLAM2 )

Papers

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Showing 541–550 of 572 papers

TitleStatusHype
ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph OptimizationCode0
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage CostCode0
MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM SystemCode0
Visual Global Localization with a Hybrid WNN-CNN ApproachCode0
Monocular LSD-SLAM Integration within AR SystemCode0
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving ObjectsCode0
Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning in dynamic environmentCode0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
Region Prediction for Efficient Robot Localization on Large MapsCode0
GSLAM: A General SLAM Framework and BenchmarkCode0
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