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 521–530 of 572 papers

TitleStatusHype
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving ObjectsCode0
Structure Aware SLAM using Quadrics and Planes—0
Closing the Calibration Loop: An Inside-out-tracking Paradigm for Augmented Reality in Orthopedic Surgery—0
Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction—0
Global Pose Estimation with an Attention-based Recurrent Network—0
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric ConstraintsCode0
LoopSmart: Smart Visual SLAM Through Surface Loop Closure—0
On-the-fly Augmented Reality for Orthopaedic Surgery Using a Multi-Modal Fiducial—0
Egocentric Spatial Memory Network—0
Real-time 3D Reconstruction on Construction Site using Visual SLAM and UAV—0
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