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 121–130 of 572 papers

TitleStatusHype
miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization FrameworkCode1
LiDARTag: A Real-Time Fiducial Tag System for Point CloudsCode1
Real-time Vision-based Depth Reconstruction with NVidia JetsonCode1
PyRobot: An Open-source Robotics Framework for Research and BenchmarkingCode1
Incremental Visual-Inertial 3D Mesh Generation with Structural RegularitiesCode1
Loosely-Coupled Semi-Direct Monocular SLAMCode1
Semi-Dense 3D Reconstruction with a Stereo Event CameraCode1
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D CamerasCode1
Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR—0
EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting—0
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